Optimizing Local Storage by Implementing Hash-Based Deduplication to Reduce File Size and Improve Storage Efficiency
摘要
The value of information is increasing in personal and professional environments. This results in duplicate files being stored in a storage area that can be misused. The aim of this proposed system is to maximize storage space. Improve storage and reduce file size with hash-based deduplication. The system allows the system to search and extract data using cryptographic hashing techniques such as SHA-256 to create unique identifiers of the data content. The program searches the archive system, calculates hash results for each archive, and finds duplicates based on matching results. Backup files are deleted or replaced with hard links to old files to save disc space. Backup files can be deleted or replaced with hard links to old files to save disc space. This work also addresses issues such as hashing and processing large files to improve performance. This technology facilitates local development because it provides more storage space without compromising data integrity. This technology is popular in computer and enterprise-level management because it provides a way to reduce data duplication and improve storage.